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import argparse
import sqlite3
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent
DB_DIR = BASE_DIR / "incoming_uploads" / "sqlite_output"
SOURCES = [
("posts.db", "posts_data", "Posts"),
("whatsapp.db", "whatsapp_data", "WhatsApp"),
("xiaohongshu.db", "xiaohongshu_data", "Xiaohongshu"),
("wechat.db", "wechat_data", "Wechat"),
]
CANDIDATE_AUTHORS = [
"author", "author_name", "username", "user_name", "user", "sender",
"nickname", "account", "screen_name", "reply_author", "comment_author", "name", "from"
]
CATEGORY_NAME = "Location, Transport & Environment"
ENV_SUBCATS = {"view", "nearby environment", "pest", "noise", "feng shui", "fengshui"}
def quote_ident(s):
s = s.replace('"', '""')
return f'"{s}"'
def classify_row(cat_raw, sub_raw, env_cat):
cat_clean = cat_raw.strip().lower()
sub_clean = sub_raw.strip().lower()
if env_cat.strip().lower() == cat_clean:
if sub_clean in ENV_SUBCATS:
return "Environment & View"
return "Location & Transport"
return cat_raw.strip()
def get_columns(con, table):
rows = con.execute(f"PRAGMA table_info({quote_ident(table)})").fetchall()
if not rows:
raise ValueError(f"Table {table} not found or has no columns.")
return [r[1] for r in rows]
def resolve_author_column(table_cols, override, source_label):
cols_lower = {c.lower(): c for c in table_cols}
if override:
override_lower = override.lower()
if override_lower in cols_lower:
return cols_lower[override_lower]
raise ValueError(
f"Specified author column '{override}' not found in table. "
f"Available columns: {', '.join(table_cols)}"
)
for cand in CANDIDATE_AUTHORS:
if cand in cols_lower:
return cols_lower[cand]
raise ValueError(
f"Could not auto-detect author column for source '{source_label}'. "
f"Available columns: {', '.join(table_cols)}"
)
def main():
parser = argparse.ArgumentParser(description="SQLite Sentiment Report")
parser.add_argument(
"--author-column",
action="append",
default=[],
help="Override author column in format SOURCE=COLUMN (e.g., posts.db=sender)"
)
args = parser.parse_args()
overrides = {}
for item in args.author_column:
if "=" not in item:
raise ValueError(f"Invalid override format '{item}', expected SOURCE=COLUMN")
src, col = item.split("=", 1)
overrides[src.strip()] = col.strip()
for db_name, table_name, label in SOURCES:
db_path = DB_DIR / db_name
if not db_path.exists():
print(f"[{label}] Database file not found: {db_path}")
print("-" * 80)
continue
try:
uri = f"file:{db_path.as_posix()}?mode=ro"
con = sqlite3.connect(uri, uri=True)
con.row_factory = sqlite3.Row
table_cols = get_columns(con, table_name)
required = ["cat", "sub_cat", "sentiment"]
cols_lower = {c.lower(): c for c in table_cols}
missing = [r for r in required if r not in cols_lower]
if missing:
raise ValueError(f"Missing required columns: {', '.join(missing)}. "
f"Available columns: {', '.join(table_cols)}")
col_cat = cols_lower["cat"]
col_sub = cols_lower["sub_cat"]
col_sent = cols_lower["sentiment"]
ov = overrides.get(db_name)
col_author = resolve_author_column(table_cols, ov, label)
q_cat = quote_ident(col_cat)
q_sub = quote_ident(col_sub)
q_sent = quote_ident(col_sent)
q_auth = quote_ident(col_author)
query = f"""
SELECT {q_cat} as cat, {q_sub} as sub_cat, {q_sent} as sent, {q_auth} as auth
FROM {quote_ident(table_name)}
"""
rows = con.execute(query).fetchall()
con.close()
except Exception as e:
print(f"[{label}] ERROR: {e}")
print("-" * 80)
continue
stats = {}
for row in rows:
cat_raw = row["cat"] or ""
sub_raw = row["sub_cat"] or ""
sent_raw = (row["sent"] or "").strip().lower()
auth_raw = (row["auth"] or "").strip().lower()
mapped_cat = classify_row(cat_raw, sub_raw, CATEGORY_NAME)
if mapped_cat not in stats:
stats[mapped_cat] = {
"total": 0,
"authors": set(),
"neg": 0, "neg_authors": set(),
"pos": 0, "pos_authors": set(),
"neu": 0, "neu_authors": set(),
}
bucket = stats[mapped_cat]
bucket["total"] += 1
if auth_raw:
bucket["authors"].add(auth_raw)
if sent_raw.startswith("neg"):
bucket["neg"] += 1
if auth_raw:
bucket["neg_authors"].add(auth_raw)
elif sent_raw.startswith("pos"):
bucket["pos"] += 1
if auth_raw:
bucket["pos_authors"].add(auth_raw)
elif sent_raw.startswith("neu"):
bucket["neu"] += 1
if auth_raw:
bucket["neu_authors"].add(auth_raw)
print(f"Source: {label}")
print("-" * 80)
cat_w = 30
print(f"{'Category':<{cat_w}} | {'Total':>6} | {'Authors':>7} | {'Neg':>4} | {'NegAuth':>7} | {'Pos':>4} | {'PosAuth':>7} | {'Neu':>4} | {'NeuAuth':>7}")
for cat in sorted(stats.keys()):
b = stats[cat]
print(
f"{cat:<{cat_w}} | "
f"{b['total']:>6} | "
f"{len(b['authors']):>7} | "
f"{b['neg']:>4} | "
f"{len(b['neg_authors']):>7} | "
f"{b['pos']:>4} | "
f"{len(b['pos_authors']):>7} | "
f"{b['neu']:>4} | "
f"{len(b['neu_authors']):>7}"
)
print("-" * 80)
if __name__ == "__main__":
main()
|
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